You are here: Home Research

Research

In the BSDLab, we investigate novel algorithmic decoding strategies, which allow us to better understand and utilize high-dimensional, noisy and multimodal brain signals. The decoding of brain signals in single trial involves heavy use of machine learning methods. Successful decoding approaches are implemented in closed loop applications like brain-computer interfaces (BCIs), which allow for novel interaction paradigms with the brain in stroke rehabilitation, to establish communication and control, to improve human-robot interaction and test novel neuro-ergonomic interaction paradigms. Currently funded projects comprise:

MRI+X: Improving Signal Quality in Combined MRI and EEG Recordings

Investigation of novel conducting materials for the concurrent measurement of the electroencephalogram and magnetic resonance imaging.

MRI+X: Improving Signal Quality in Combined MRI and EEG Recordings - Read More…

Put-The-Coat-On

Investigation of novel surface coatings to improve the electrochemical characteristics of dry electrodes for the recording of electroencephalogram.

Put-The-Coat-On - Read More…